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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Welcome to the vanguard of the 2026 AI revolution. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation neural infrastructure. We are building the synthetic intelligence systems that will define the future of human-computer interaction.

As a key player in our 2026 roadmap, you will architect scalable deep learning models, optimize large language models for real-time inference, and establish the ethical frameworks for next-gen autonomous agents. If you are passionate about pushing the boundaries of what is possible in artificial intelligence, this is your opportunity to shape the industry standard.

Why join us?
We offer competitive equity, a remote-first culture, and the resources to build at the bleeding edge of technology.

Responsibilities

  • Architect and deploy scalable neural network architectures for the 2026 product roadmap.
  • Lead the research and implementation of Generative AI and Reinforcement Learning algorithms.
  • Collaborate with cross-functional teams to integrate AI models into production-grade software ecosystems.
  • Establish best practices for data governance, model interpretability, and ethical AI usage.
  • Mentor junior engineers and data scientists to foster a culture of innovation and technical excellence.
  • Optimize model latency and throughput to meet enterprise-grade performance standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in designing and deploying large-scale machine learning systems.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or leading open-source contributions.
  • Strong proficiency in Python, C++, and SQL.
  • Experience with cloud platforms (AWS, GCP) and MLOps pipelines (Kubernetes, Docker).

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Python PyTorch AWS MLOps Leadership Research

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